test_orb.cpp 3.39 KB
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
//  By downloading, copying, installing or using the software you agree to this license.
//  If you do not agree to this license, do not download, install,
//  copy or use the software.
//
//
//                        Intel License Agreement
//                For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
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//     this list of conditions and the following disclaimer.
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#include "test_precomp.hpp"
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using namespace std;
using namespace cv;
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TEST(Features2D_ORB, _1996)
{
    Ptr<FeatureDetector> fd = ORB::create(10000, 1.2f, 8, 31, 0, 2, ORB::HARRIS_SCORE, 31, 20);
    Ptr<DescriptorExtractor> de = fd;
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    Mat image = imread(string(cvtest::TS::ptr()->get_data_path()) + "shared/lena.png");
    ASSERT_FALSE(image.empty());
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    Mat roi(image.size(), CV_8UC1, Scalar(0));
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    Point poly[] = {Point(100, 20), Point(300, 50), Point(400, 200), Point(10, 500)};
    fillConvexPoly(roi, poly, int(sizeof(poly) / sizeof(poly[0])), Scalar(255));
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    std::vector<KeyPoint> keypoints;
    fd->detect(image, keypoints, roi);
    Mat descriptors;
    de->compute(image, keypoints, descriptors);
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    //image.setTo(Scalar(255,255,255), roi);
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    int roiViolations = 0;
    for(std::vector<KeyPoint>::const_iterator kp = keypoints.begin(); kp != keypoints.end(); ++kp)
    {
        int x = cvRound(kp->pt.x);
        int y = cvRound(kp->pt.y);

        ASSERT_LE(0, x);
        ASSERT_LE(0, y);
        ASSERT_GT(image.cols, x);
        ASSERT_GT(image.rows, y);

        // if (!roi.at<uchar>(y,x))
        // {
        //     roiViolations++;
        //     circle(image, kp->pt, 3, Scalar(0,0,255));
        // }
    }

    // if(roiViolations)
    // {
    //     imshow("img", image);
    //     waitKey();
    // }

    ASSERT_EQ(0, roiViolations);
}